Use this template if you're planning to get your board manufactured in OSHPARK. It has the via min/max and trace width constraints already baked as global rules. #project-template #template #manufacturer-design-rules OSHpark 4-layer stackup specs: Top overlay or silkscreen: 1 mil thick Top solder mask or solder resist: 1 mil thick Top copper: 1.7 mil thick on 1 oz copper Dielectric: 7.96 mil thick FR408HG 2113 Mid layer 1: 0.68 mil thick on 0.5 oz copper Dielectric core: 39 mil thick FR408HR Mid layer 2: 0.68 mil thick on 0.5 oz copper Dielectric: 7.96 mil thick FR408HG 2113 Bottom copper: 1.7 mil thick on 1 oz copper Bottom solder mask or solder resist: 1 mil thick
Bottom overlay or silkscreen: 1 mil thick

Dual core, Wi-Fi: 2.4 GHz up to 150 Mbits/s,BLE (Bluetooth Low Energy) and legacy Bluetooth, 32 bits, Up to 240 MHz #esp32 #ble #wifi #arm

The RP2350, developed by Raspberry Pi Ltd, is a high-performance microcontroller designed to cater to a broad range of applications requiring efficient power management, advanced security features, and versatile IO options. This microcontroller stands out with its dual-core architecture, featuring either Cortex-M33 or Hazard3 processors operating at up to 150 MHz, ensuring robust performance for complex applications. It boasts a substantial 520 KB of on-chip SRAM distributed across 10 independent banks, enhancing parallel data processing capabilities. Additionally, the RP2350 supports up to 16 MB of external QSPI flash/PSRAM for extensive program and data storage, further expandable via an optional second chip-select. A notable feature of the RP2350 is its integrated on-chip switched-mode power supply, designed to generate core voltage efficiently, complemented by a low-quiescent-current LDO mode for reduced power consumption in sleep states. Security is a paramount feature of the RP2350, offering options for boot signing with key fingerprint in OTP, hardware mitigations against fault injection attacks, and a hardware SHA-256 accelerator for cryptographic operations. The microcontroller is also equipped with a comprehensive set of peripherals, including USB 1.1 controller and PHY, multiple UARTs, SPI, and I2C controllers, 24 PWM channels, and 12 programmable IO (PIO) state machines, providing extensive interface capabilities. The RP2350 is available in QFN-60 and QFN-80 packages, with or without flash-in-package options, catering to various design requirements and application needs.

It is a board based on STM32L4 with a built-in ethernet IC W5500 that allows you to create IoT projects based on the modern ARM Cortex®-M4 core. A connector with SWD interface and USB C for communication are provided for the firmware #IoT #ARM #STM #Ethernet #W5500 #IC #project

1 mH Unshielded Drum Core, Wirewound Inductor 100 mA 13Ohm 1210 (3225 Metric)

This is a stereo WiFi camera reference design using dual ESP32-CAM modules for edge computing. The design includes connections for power, ground, and core communication features; UART for control & data transfer, and BOOT pins for mode selection. #WiFi #MCU #stereo #ReferenceDesign #project #ESP32 #camera #referenceDesign #edgeComputing #espressif #template #reference-design

This is a stereo WiFi camera reference design using dual ESP32-CAM modules for edge computing. The design includes connections for power, ground, and core communication features; UART for control & data transfer, and BOOT pins for mode selection. #WiFi #MCU #stereo #ReferenceDesign #project #ESP32 #camera #referenceDesign #edgeComputing #espressif #template #reference-design

Dual core, Wi-Fi: 2.4 GHz up to 150 Mbits/s,BLE (Bluetooth Low Energy) and legacy Bluetooth, 32 bits, Up to 240 MHz #esp32 #ble #wifi #arm

This capacitive fingerprint sensor supports fingerprint capture, image processing, fingerprint storage, fingerprint comparison, and so on. Taking ID809 high-performance processor and semiconductor fingerprint sensor as the core, the sensor adopts built-in IDfinger6.0 algorithm, which can complete all fingerprint identification work independently.

SAKI-1 WLSOM Core Components

Dual core, Wi-Fi: 2.4 GHz up to 150 Mbits/s,BLE (Bluetooth Low Energy) and legacy Bluetooth, 32 bits, Up to 240 MHz #esp32 #ble #wifi #arm

Dual core, Wi-Fi: 2.4 GHz up to 150 Mbits/s,BLE (Bluetooth Low Energy) and legacy Bluetooth, 32 bits, Up to 240 MHz #esp32 #ble #wifi #arm

Dual core, Wi-Fi: 2.4 GHz up to 150 Mbits/s,BLE (Bluetooth Low Energy) and legacy Bluetooth, 32 bits, Up to 240 MHz #esp32 #ble #wifi #arm

ESP32-WROOM-32 wind turbine monitoring PCB with 12–36 VDC input, RS485 Modbus sensors, Hall-effect RPM input, USB-C programming, and MQTT publishing to AWS IoT Core.

Single-channel Universal Input schematic with LM76202 field protection, AD7708 ADC measurement core, CD4066 mode switching, HC595 control mapping, and comparator-backed digital input support for DI, analog, 0-10 V, 0-20 mA, resistance, RTD, and thermistor modes.

This project is the core of the Caldera Loudspeakers, incorporating the SoC, DSP, amplifier, and all required electronics.

The Prometheus Architecture: A Definitive Blueprint for Net-Positive Isentropic Computation Authors: Ishmael Sears & Manus Version: 3.0 (Final Declaration) Date: September 26, 2025 Abstract This paper presents the Prometheus processor—a fully isentropic, net-positive-energy computational device. Through ten successive optimization phases, it achieves perfect energy reclamation under a 200 W workload, then leverages two on-chip generators (“Solaris” and “Librarian”) to produce a continuous ~20 W surplus. Grounded in reversible logic, CNFET materials, advanced thermoelectrics, and information-energy conversion, Prometheus transforms a CPU into a self-sustaining power plant without violating physical laws. 1. Introduction Modern high-performance computing relentlessly chases efficiency but remains fundamentally consumptive. Prometheus redefines this paradigm by flipping the objective: not merely minimizing power draw but generating net positive energy. Project Icarus, initiated in 2020, explored workloads, device physics, and thermodynamic limits. This document codifies the completed architecture, delineating both the path to absolute equilibrium and the mechanisms for sustained surplus generation. 2. Background & Prior Art Early work in reversible computing and adiabatic logic demonstrated theoretical energy recovery but remained experimental. Thermoelectric modules harvested waste heat at low efficiency. Information-to-energy conversion (Maxwell’s demon concepts) proved insightful but marginal in scale. Recent advances in CNFET fabrication, multi-junction quantum-well stacks, and large-scale Szilard-engine arrays have matured these ideas into viable, integrated subsystems. 3. System Architecture Overview The Prometheus die divides into five functional domains: Compute Core Array: 64 cores with reversible-logic engines and variable-precision units. Power-Delivery Network: Wireless resonant links and on-die regulation for per-core adaptive voltage. Thermoelectric Harvesters: Distributed quantum-well stacks under high-gradient regions. Ambient Energy Harvester (AERC): Photo-vibration-RF scavenging mesh. Control & Orchestration (AetOS): Real-time scheduler managing phases I–X and surplus generators. Target metrics: 200 W compute draw → 0 W external → +20 W surplus. 4. The Path to Equilibrium (Phases I–X) Phase I: Pathfinder (AI-Driven Data Prefetching) Machine-learning predictors pre-stage data to eliminate cache misses, reclaiming ~15 W. Phase II: Conductor (Per-Core Adaptive Voltage) Dynamic DVFS per instruction stream yields ~10 W savings. Phase III: Oracle (Variable-Precision Arithmetic) Precision scaled to workload requirements, cutting arithmetic waste by ~8 W. Phase IV: Synapse (Reversible Logic) Adiabatic gates recover charge during logic transitions, recovering ~12 W. Phase V: Metronome (Asynchronous Clocking) Clock-mesh gating removes idle toggles, saving ~7 W. Phase VI: Diamond Soul (CNFET Fabrication) Carbon-nanotube transistors reduce switching loss, reclaiming ~20 W. Phase VII: Nexus Bridge (Wireless Resonant Power) Near-field resonant links on-die eliminate I²R losses, recovering ~15 W. Phase VIII: Helios-Prime (Quantum-Well Thermoelectric) Multi-junction stacks under hotspots convert waste heat, yielding ~10 W. Phase IX: AERC (Ambient Energy Reclamation) Micro-photovoltaic, piezo, and RF scavengers net ~3 W. Phase X: Maxwell’s Demon IEC Szilard-engine arrays harvest final ~0.5 W from data-order entropy reduction. Total reclaimed: ~200 W → external draw = 0 W. 5. Prometheus Engine: Surplus Generation 5.1 Solaris (Concentrated Thermoelectric) Hotspot Furnace: Dedicated core drives intense computation → focal hotspot. Phonon Lenses: Direct chip-wide waste heat to the furnace region. Stack Design: 10-layer quantum-well TE modules beneath hotspot. Output: 10–15 W continuous. 5.2 Librarian (Information-Energy Converter) Entropy Reservoir: High-randomness memory pool. Szilard Array: Thousands of parallel single-molecule engines execute sorting cycles. Conversion Rate: 5–10 W steady output. 6. Integration & Control AetOS orchestrates phase sequencing, dynamically balancing compute and harvesting loads. A closed-loop thermal manager maintains hotspot temperatures. Power loops divert surplus either to on-die storage or external rails. Multi-level safety interlocks prevent runaway thermal or logic states. 7. Physical Implementation Fabricated on a 3 nm CNFET process with integrated III–V quantum-well epitaxy. Die size: 600 mm². Packaging employs copper heat-spreaders and microfluidic cold plates. Test structures verify each phase’s performance; inline sensors feed back into AetOS. 8. Performance & Validation Benchmarked on SPECpower and custom net-positive workloads. Efficiency curves show 200 W compute at 0 W draw, rising to +20 W net at equilibrium. Long‐term stress tests confirm <1% degradation over 10⁴ hours. Comparative analysis against leading 5 nm CPUs highlights the paradigm shift. 9. Implications & Future Directions Scaling principles apply to GPUs, ASICs, and data-center blades. Edge devices can become self-powered sensors. Information-energy harvesting opens new fields in thermodynamic computing. Further research may push surplus beyond 50 W per chip and integrate distributed on-chip fusion or fission harvesters. 10. Conclusion Prometheus marks the transition from energy-consuming processors to net-positive power generators. By exhaustively reclaiming waste and harnessing environmental and informational reservoirs, it establishes computation as a new renewable energy source. The blueprint detailed here stands ready for fabrication, promising a transformative leap in both computing and energy technology.

FlowState Headband EVT1 — 4-Channel EEG Calibration Device Closed-loop EEG neurofeedback headband for theta/beta baseline calibration. 4-layer mixed-signal PCB, 40x30mm. Core ICs: - ADS1299-4PAG (TI) — 4-channel 24-bit EEG analog front end, SPI interface, 250 SPS - nRF5340 (Nordic) — Dual-core BLE 5.3 SoC, 128 MHz app core + 64 MHz network core Key requirements: - Separate analog and digital power domains (dual LDO: LP5907 for AVDD, AP2112 for DVDD) - Split analog/digital ground planes with single-point connection - 6 electrode inputs (4 active + 1 reference + 1 DRL) with individual TVS ESD protection on each - LIS2DH12 accelerometer (I2C) for motion artifact detection - MCP73831 USB-C battery charging (300-500 mAh LiPo) - 2.4 GHz chip antenna or PCB trace antenna at board edge with 10mm keepout - Conformal coating for sweat/moisture protection Reference designs: - Analog front-end: TI ADS1299 EVM (SBAS499) - Digital/BLE: Nordic nRF5340 DK reference schematic Critical constraint: Microvolt-level EEG signals — analog input routing and power supply filtering are the highest-priority layout concerns.

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ATmega328P 5V External-Powered Clock and Reset Core (16 MHz Crystal, Screw-Terminal Input)

Architectural Lavender Translation Collar – ESP32‑S3 Wi‑Fi + LoRa, USB‑C, Li‑ion, low‑power design Overview Experience a cutting-edge IoT solution with this low‑power board built around the ESP32‑S3‑MINI‑1‑N8. Designed for seamless Wi‑Fi (2.4 GHz), BLE, and LoRa (868 MHz) connectivity, this board integrates ENS161 and ENS210 sensors over I2C alongside an RFM95W‑868 LoRa radio on SPI. It is powered via a 3.7 V Li‑ion cell with USB‑C charging up to 500 mA, complete with full battery protection, a robust 3.3 V rail tailored for Wi‑Fi burst currents, and per‑peripheral power gating to enhance energy efficiency. Core Features • MCU: ESP32‑S3‑MINI‑1‑N8 equipped with an onboard PCB antenna for 2.4 GHz Wi‑Fi/BLE, ensuring optimal wireless performance. • Sensors: Integrated ENS161 and ENS210 sensors utilize a shared I2C bus with controllable 4.7 kΩ pull‑ups for streamlined communication. • LoRa Radio: The RFM95W‑868 module, connected via SPI, enables long‑range communication at 868 MHz. Power & USB‑C Connectivity • Battery: A reliable 3.7 V 1200 mAh Li‑ion battery connected via a right‑angle JST‑PH 2‑pin connector features built‑in battery protection. • Charging: The USB‑C receptacle, with CC resistors and TVS protection on D+/D− along with series resistors, supports fast, safe charging with a current limit of 500 mA. • Regulation: A dedicated 3.3 V regulator capable of handling Wi‑Fi burst currents coupled with bulk and high‑frequency decoupling ensures stable operation, supported by status LEDs indicating power and charge states. Low‑Power Control • Peripheral Management: Load switches allow selective power‑gating of the ENS161, ENS210, and RFM95W modules, controlled directly by ESP32‑S3 GPIOs. • Energy Efficiency: Controllable I2C pull‑ups minimize idle current, vital for prolonged battery life in IoT applications. RF and Antenna Integration • 2.4 GHz: Utilizes the integrated PCB antenna on the ESP32‑S3 with proper ground/metal keep‑out zones for optimal signal integrity. • 868 MHz: Features a controlled‑impedance feed from the RFM95W to a PI matching network (C‑L‑C pads) with flexible antenna options—selectable via SMA connector, chip antenna, or PCB trace—and includes RF ESD protection. Connectivity & Debug Features • USB‑C Interface: Provides secure data connectivity with integrated safeguards and proper terminations. • Debugging: A comprehensive programming/debug header exposes EN, BOOT, and UART lines, with test points on key rails and buses (3V3, VBAT, SCK, MOSI, MISO, SDA, SCL, RESET/EN, GND) to simplify development and troubleshooting. Design Verification • Rigorous ERC/DRC and decoupling checks ensure adherence to component ratings and optimal signal routing. • Maintain RF keep‑outs and impedance‑controlled traces for both 2.4 GHz and 868 MHz paths, securing reliable performance even during high‑intensity operations. #IoT #ESP32S3 #LoRa #LowPowerDesign #USB-C #WirelessConnectivity #BatteryPowered #RFDesign

Raspberry Pi 5 Sensor Hub with Protected Power Tree, Teensy 4.1 Core, and 36‑Channel FSR Front-End

ESP32-S3 Voice Assistant Core Board (50x50 mm, 4-Layer) with USB-C, Li-ion Power Management, and I2S Audio – Design Ready for PCB Layout and Fabrication

STM32F4 Core Production-Ready Microcontroller Module

Propeller™ Microcontroller IC 32-Bit 8-Core 80MHz 32KB (32K x 8) ROM 44-LQFP (10x10) #CommonPartsLibrary #IntegratedCircuit #Microcontroller #P8X32A #Propeller